Year: 2025
Type: article
Abstract: The development of materials science, artificial intelligence and wearable technology has created both opportunities and challenges for the next generation of bionic sensor technology. Bionic sensors are extensively utilized in the collection and monitoring of human biological signals. Human biological signals refer to the parameters generated inside or outside the human body to transmit information. In a broad sense, they include bioelectrical signals, biomechanical information, biomolecules, and chemical molecules. This paper systematically reviews recent advances in bionic sensors in the field of biometric acquisition and monitoring, focusing on four major technical directions: bioelectric signal sensors (electrocardiograph (ECG), electroencephalograph (EEG), electromyography (EMG)), biomarker sensors (small molecules, large molecules, and complex-state biomarkers), biomechanical sensors, and multimodal integrated sensors. These breakthroughs have driven innovations in medical diagnosis, human-computer interaction, wearable devices, and other fields. This article provides an overview of the above biomimetic sensors and outlines the future development trends in this field.
Source: Sensors
DOI: 10.3390/s25133981
Authors: Haoran Yu, Mingqi Ma, Baishun Zhang, Anxin Wang, Gaowei Zhong, Ziyuan Zhou, Chengxin Liu, Chunqing Li, Jingjing Fang, Yanbo He, Donghai Ren, Feifei Deng, Qi Hong, Yunong Zhao, Xiaohui Guo
Institution: Anhui University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W4411690807
